• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.16-41
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• 2020

Geospatial input setting to represent the reality of spatial distribution or quantitative property within model has become a major interest in earth system simulation. Many studies showed the variation of grid resolution could lead to drastic changes of spatial model results because of insufficient surface property estimations. Hence, in this paper, the authors proposed Monte Carlo Integration (MCI) to apply spatial probability (SP) in a spatial-sampling framework using a three-dimensional point cloud (3DPC) to keep the optimized spatial distribution and area/volume property of buildings in urban area. Three different decision rule based building identification results were compared : SP threshold, cell size, and 3DPC density. Results shows the identified building area property tend to increase according to the spatial sampling grid area enlargement. Hence, areal building property manipulation in the sampling frameworks by using decision rules is strongly recommended to increase reliability of geospatial modeling and analysis results. Proposed method will support the modeling needs to keep quantitative building properties in both finer and coarser grids.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.1-7
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• 2016

As new information and communication technologies evolve, security threats are also becoming increasingly intelligent and advanced. In this paper, we analyze the time series data continuously entered through a series of periods from the network device or lightweight IoT (Internet of Things) devices by using the statistical technique and propose a system to detect abnormal behaviors of the device or abnormality based on the analysis results. The proposed system performs the first level abnormal detection by using previously entered data set, thereafter performs the second level anomaly detection according to the trust bound configured by using stored time series data based on time attribute or group attribute. Multi-level analysis is able to improve reliability and to reduce false positives as well through a variety of decision data set.

• Korean Journal of Human Ecology
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• v.17 no.5
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• pp.1015-1026
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• 2008

This study explores the attributes of the color cosmetic products and prices, and their effects on the brand trust. In doing so, our sample population has been segmented according to their lifestyle on color cosmetic to understand the group differences. Based on the previous researches, we have chosen four important characteristics of the customer's lifestyle. The number of iteration on factor analysis revealed that our sample population can be formed into three different groups. The significant group differences resulted on the following study variables; the product functionality, the product fragrance/color, the product vessel design, the price value, the price information, the price rationality. Also, from the product aspect, the product functionality, the product fragrance/color, the product vessel design, explained the significant portion of the Y variance. While, on the aspect of price, the value, the rationality, and information in order, significantly contributed on the brand trust.

• Asia Marketing Journal
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• v.5 no.1
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• pp.95-121
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• 2003

본 연구는 제품특성의 차이로 인한 거래상황요인이 구매자와 판매자간의 장기지향성에 미치는 영향력의 구조를 검증하기 위한 것이다. 이를 위해 원지를 공급 받아 종이류 제품을 생산·판매하는 제조업체와 광고라고 하는 무형의 서비스를 거래하는 일반 기업체들을 대상으로 상호신뢰를 통한 장기지향성의 형성에 영향력을 행사하는 변수들의 구조와 상대적 중요성을 실증자료를 통해 분석해 보았다. 이에 따라 다음과 같은 결과를 얻을 수 있었다. 첫째, 많은 선행연구에서와 마찬가지로 신뢰가 장기지향성의 매개변수 임이 확인되었다. 둘째, 신뢰구축을 결정짓는 변수들을 기업특성과 관련된 것과 거래를 담당하는 담당자의 개인적 특성과 관련된 집단으로 구분할 수 있다는 점이다. 셋째, 취급제품의 형태에 따른 거래상황의 차이는 신뢰형성과 장기지향성에 조절적 역할을 한다는 점이다. 거래대상이 유형의 제품인가 아니면 무형의 서비스인가에 따라 경로구성원 상호간 기대하는 거래속성이 달라지게 되며 이는 신뢰 구축을 통한 장기지향성을 결정짓는 변수들의 구성과 크기에 영향력을 미치게 된다. 본 연구의 결과, 거래 대상의 제품특성이 달라지는 경우 산업 내에서 해당 기업에 대한 평판이 거래상대에 대한 신뢰구축에 가장 중요한 변수라는 사실을 발견할 수 있었다. 마지막으로 서비스산업의 경우에는 제조업의 경우에 있어서 보다 판매원의 개인적 특성이 매우 중요한 역할을 한다는 사실을 알 수 있었다.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.334-347
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• 2013

This study aimed to develop positioning strategies through the preparation of a positioning map by introducing brand personality to online shopping malls. Such a study will be able to furnish useful information for establishing differentiated marketing strategies in the online shopping mall market, which has faced fierce competition. For research subjects, the study was aimed at students who were attending S college in the Busan region. The results of an empirical analysis are as follows. The brand personality of online shopping malls were deduced to be the following factors: "competence refinement", "vitality", "intimateness", and "reliability". Then the study prepared a positioning map with these assessment attributes. As a result, there were mutually significant differences among competitive shopping malls in the positioning of consumers. The most differentiated attributes in the perception of the entire group were discovered to be "intimateness" and "vitality", whereas the least differentiated attribute was found to be "reliability". In addition, also in terms of the preference and ideal points for online shopping malls in accordance with brand personality between the entire group and segmented groups, there were mutually significant differences.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.155-163
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• 2020

This study investigated experimentally how factors of SNS advertising attribute impact on advertising likeability and purchase intention according to use motive and use intensity of SNS. Firstly showing difference according to use motive of SNS, in user of motive to managing human relation, reliability of advertising contents has effect the largest and entertainment of advertising interest has effect also as important factor. In user of motive to sharing interest information, irritation of advertising on using SNS has effect the largest negatively and information of advertising's information offering capability has effect larger as positive factor. Next showing difference according to use intensity of SNS, in user of high intensity, reliability and information of advertising contents has effect larger than other factors. In user of low intensity, irritation of advertising has effect the largest negatively and other factors have effect very small. This results can provide a practical contribution that explains important factors in producing effective SNS advertising according to using behavior characteristics of SNS.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.190-192
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• 2012

최근 소셜 네트워크 서비스는 언제 어디서나 정보를 누구라도 손쉽게 전달하고 볼 수 있는 수단으로 각광받고 있다. 소셜 네트워크 서비스의 주요한 특징은 사람과 사람, 사람과 정보, 정보와 정보 간의 관계 네트워크로서, 사용자가 능동적으로 참여한다는 것이다. 하지만 범람하는 수많은 정보들 속에서 사용자가 직접 정보를 검색 및 분류해야 하는 과정은 사람과 정보간의 관계 네트워크 측면에서 소셜의 의미를 충족하지 못한다. 이러한 기존의 정보 활용법은 사용자의 선호도에 따른 맞춤형 정보의 수용과 공유를 제시하지 못하고 있다. 본 연구에서 설계된 사용자 맞춤형 서비스 시스템은 사용자의 상황인식 속성정보와 이에 따른 선호도를 평가하는 알고리즘을 기반으로 하여 보다 효율적인 커뮤니티 공간이 제공될 수 있는 맞춤형 커뮤니티 서비스 시스템을 설계 제안한다. 제안된 시스템에서는 소셜 네트워크 서비스에서 사용자가 텍스트를 읽거나 작성하는 행위를 바탕으로 사용자의 관심사를 제공된 알고리즘으로 분석하여 사용자의 선호도에 따른 정보를 분류하고, 사용자의 인적정보로부터 선별한 유사 사용자들을 통해 신뢰성이 높은 정보를 우선적으로 선출한다. 따라서 사용자의 속성과 선호도를 고려한 상황인식 정보를 제공함으로써 사용자가 직접 정보를 검색 및 분류하는 과정을 단축하고 정보의 신뢰성을 향상할 수 있는 방법을 제시한다. 이러한 상황인식 기반의 맞춤형 커뮤니티 서비스 시스템은 실시간으로 많은 정보가 공유되는 서비스에서 다양하게 적용되어 인터넷 신문, 타겟 마케팅 광고 등의 응용분야에서 다양한 정보제공 서비스 시스템으로 적용될 수 있을 것으로 본다.

• The Korean Journal of Archival Studies
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• no.77
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• pp.109-150
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• 2023

Prior researchers interpreted the records of criminal cases involving the Progressive Party from a historical perspective. In marked contrast to existing trends, this study examines the Progressive Party case records through the lens of archival science. This study dissects the Progressive Party case records as a single and complete record group and at each stage of their life cycle from police investigation through criminal prosecution to trial. This approach enables a holistic analysis of archival characteristics of the records. This study begins with an appraisal of the nature and types of case records generated and maintained by the various agencies in light of the investigatory authorities delegated to each institution. This study then dissects the police, prosecution, and Counter Intelligence Corps records leading up to the indictment of Progressive Party members as well as the court records of the trial that followed. In particular, this study reveals the insufficiency and illegality of the evidence against the defendants in the Progressive Party case from an archival standpoint. Setting aside the admissibility or strength of the evidence under criminal law, the present study demonstrates that the records lack reliability, authenticity, and integrity-the fundamental attributes required for evidentiary efficacy of records from an archival standpoint.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.103-119
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• 2012

In this paper, we conducted for information search process of users, who have experience to buy paid-application in Appstore, to find out difference of information searching efforts and information sources, reliance on the information in term of attributes of Apps and buyes' innovativenss. As a result, Innovative buyers take a effort to search various information source but they get help buying decision-making supports by own their efforts like searching in category. On the other hand, non-Innovative buyers who search informtion less than Innovative buyers, get information like recommendation from friend and Apps, then they keep those information help buying decision-making supports highly. Besides buyers of Utility Apps search on objective information sources mainly, but those sources have influence on buying decision-making supports. On the other side buyers of Enjoyment Apps consider reliance on the information more than information searching efforts to buying decision-making supports as they get information source like popularity. This research suggests operators of Appstore and app developers how to promote their Apps to users.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.291-294
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• 2013

연관 규칙 감축 기법은 대규모 데이터를 사용하는 Socially aware computing분야에서 매우 중요한 이슈이다. 본 논문에서는 수집된 각종 데이터들을 각 속성 기준에 따라 이진 변환한 후 가중치를 부여하고 논리식 감축 방법을 이용하여 신뢰성을 보장하는 규칙을 도출하는 새로운 데이터 감축 기법을 제안한다. 이는 컴퓨터 시뮬레이션 결과 기존의 방식들에 비해 지지도, 신뢰도, 규칙 감소율, 연관 규칙 추출 시간에 좋은 성능을 보였으며 이는 빠른 시간 내에 신뢰성 높은 대규모 데이터 처리가 필요한 Socially aware computing분야에 적합하다고 판단한다.